⚡Big Yahoo⚡ — CS2 Stats

IL76561198309831634[U:1:349565906]Steam profile ↗✓ No bans

1,225Tracked matches37%Win rate2022Tracked since

1,182Hours in CS14Hrs last 2 wks

CSDB Rating3.4 Learning

Ladder ranks via Leetify

Performance scores

Aim59

Positioning46

Utility37

0–100 skill scores via Leetify.

Recent form

COLD50–50Last 10050%Win rateLLWLWLLLLW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Aim5.9

Aggression5.2

Utility3.7

Positioning4.6

Opening Duels1.7

Clutch2.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

Plays most like NiKo 82% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Counter-strafing. Only 60% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.9

Positioning4.6

Utility3.7

Mechanics2.2

Opening Duels1.7

Win Impact0.6

Composite 3.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02

first ⅓ avg 0.00 → last ⅓ avg -0.02

Reaction time521ms−80ms

first ⅓ avg 602ms → last ⅓ avg 521ms

Headshot accuracy13.5%+2.3%

first ⅓ avg 11.3% → last ⅓ avg 13.5%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.08Best rating — mirage 5–13

13–0Biggest win — inferno

7Longest win streak

L2Current streak

11–11In matches decided by ≤2 rounds

13Overtime games

Map breakdown

infernoBest map · 63% over 27anubisWeakest map · 31% over 13

Map	Grade	Played	Record	Win rate	Avg rating
inferno	A	27	17–10	63%	-0.00
mirage	B	22	11–11	50%	-0.01
nuke	A	14	8–6	57%	-0.00
anubis	D	13	4–9	31%	-0.02
cache	C	7	3–4	43%	-0.02
overpass	C	5	2–3	40%	0.01
ancient	—	4	2–2	50%	-0.01
dust2	—	4	1–3	25%	-0.04
poseidon	—	1	0–1	0%	-0.08
stronghold	—	1	1–0	100%	0.01
vertigo	—	1	0–1	0%	0.01
office	—	1	1–0	100%	-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

22,074Lifetime kills

0.93K/D

1,466Matches

46.3%Match win rate · Top 50% of tracked players

32.5%Headshot %

2.6%Shot accuracy

2,831MVPs

583Hours (in match)

1,658Bombs planted

401Bombs defused

Most-used weapons

AK-475,077

AWP3,844

M4A4 / M4A1-S3,350

Desert Eagle1,270

P2000 / USP-S1,015

MAC-10993

Glock-18974

MP9863

P90486

Five-SeveN368

Lifetime map wins

2,689inferno

2,375nuke

933dust2

724train

423vertigo

143cbble

116office

22italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

106Matches

56%Win rate

0.97Avg K/D

71.0ADR

31%Headshot %

Clutches & streaks

34%1v1 clutch win

28%1v2 clutch win

11Longest win streak

Recent Faceit resultsLWWLL

Map	Matches	Win rate	Avg K/D	Avg kills
Inferno	26	58%	0.95	13.0
Anubis	24	42%	1.06	13.9
Mirage	23	74%	1.05	16.2
Ancient	11	55%	0.94	13.3
Nuke	10	60%	0.99	14.1
Dust2	5	60%	0.69	11.4
Cache	3	33%	0.74	17.3
Train	2	50%	0.82	16.5

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.7%Headshot accuracy

35.9%Accuracy (enemy spotted)

38.9%Spray accuracy

59.9%Counter-strafing

9.3°Preaim

520msReaction time

33.1%T opening success

40.2%CT opening success

0.44Enemies flashed / flash

3.0%Flash assists

6.41HE damage / grenade

6.30Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

Best CS2 Crosshair
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 12.7025% — below the 15% mark we flag
Aim Training →
Grenades & Utility
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.4398 — below the 0.5 mark we flag
Grenade Lineups →
Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 33.0573% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

Map	Score	Rating	HS%	Date
ancient	6–13	-0.01	14%	26 Aug →
anubis	14–16	-0.04	11%	19 Aug →
inferno	13–0	0.07	36%	19 Aug →
mirage	11–13	-0.05	22%	19 Aug →
mirage	13–11	-0.05	10%	19 Aug →
anubis	10–13	-0.03	13%	19 Aug →
mirage	8–13	-0.14	18%	19 Aug →
dust2	4–13	-0.04	6%	17 Aug →
nuke	11–13	-0.06	11%	17 Aug →
cache	13–11	-0.07	7%	15 Aug →
nuke	11–13	-0.07	12%	15 Aug →
anubis	12–16	0.02	7%	15 Aug →
inferno	13–7	-0.02	8%	12 Aug →
inferno	11–13	-0.06	17%	1 Aug →
dust2	14–16	-0.02	12%	30 Jul →
anubis	3–13	-0.08	7%	29 Jul →
dust2	13–10	0.00	15%	29 Jul →
inferno	13–10	-0.09	29%	28 Jul →
mirage	8–13	-0.02	35%	28 Jul →
cache	12–16	-0.06	10%	22 Jul →
inferno	14–16	-0.01	9%	22 Jul →
cache	19–17	-0.01	7%	17 Jul →
inferno	13–9	0.05	8%	17 Jul →
cache	16–19	0.00	11%	16 Jul →
inferno	13–7	0.05	11%	16 Jul →
inferno	2–13	0.03	9%	16 Jul →
mirage	16–14	0.02	11%	12 Jul →
cache	0–13	-0.05	0%	12 Jul →
anubis	9–13	0.01	15%	10 Jul →
nuke	13–8	0.01	9%	10 Jul →
anubis	4–13	-0.01	15%	9 Jul →
mirage	13–4	0.03	22%	9 Jul →
ancient	13–10	-0.04	19%	5 Jul →
mirage	13–10	0.03	19%	5 Jul →
inferno	13–8	-0.01	14%	5 Jul →
dust2	3–13	-0.11	18%	4 Jul →
anubis	13–7	0.01	7%	4 Jul →
inferno	9–13	-0.06	6%	4 Jul →
nuke	13–6	0.06	25%	4 Jul →
anubis	13–6	-0.01	17%	4 Jul →
poseidon	3–9	-0.08	5%	4 Jul →
anubis	13–10	-0.01	5%	3 Jul →
nuke	13–5	-0.08	20%	3 Jul →
inferno	13–7	-0.04	6%	3 Jul →
cache	13–9	0.05	9%	1 Jul →
inferno	3–13	0.01	4%	1 Jul →
mirage	13–9	-0.03	11%	29 Jun →
anubis	10–13	-0.08	15%	29 Jun →
inferno	11–13	-0.04	5%	29 Jun →
mirage	19–17	0.03	18%	24 Jun →
stronghold	13–11	0.01	7%	24 Jun →
anubis	13–11	0.03	7%	24 Jun →
mirage	3–13	-0.05	24%	22 Jun →
nuke	13–4	-0.02	16%	21 Jun →
inferno	13–8	0.07	14%	21 Jun →
inferno	3–10	-0.00	21%	14 Jun →
vertigo	10–13	0.01	16%	4 Jun →
mirage	10–13	-0.05	11%	3 Jun →
mirage	13–6	0.03	0%	3 Jun →
ancient	10–13	-0.02	9%	29 May →
ancient	16–13	0.02	9%	26 May →
mirage	5–13	0.08	10%	26 May →
inferno	13–11	0.02	20%	14 May →
cache	6–13	0.00	22%	13 May →
nuke	9–13	-0.03	9%	13 May →
nuke	13–2	0.04	11%	10 May →
inferno	13–9	-0.04	3%	10 May →
overpass	13–11	0.01	6%	9 May →
inferno	13–8	-0.04	11%	7 May →
mirage	13–9	0.00	11%	7 May →
inferno	13–11	-0.04	11%	29 Apr →
mirage	13–11	0.04	12%	28 Apr →
nuke	13–16	0.03	13%	23 Apr →
nuke	13–7	0.05	13%	22 Apr →
inferno	13–2	0.03	15%	21 Apr →
inferno	3–13	-0.05	15%	17 Apr →
mirage	13–3	0.05	6%	17 Apr →
mirage	8–13	-0.02	22%	16 Apr →
mirage	13–9	0.03	7%	13 Apr →
inferno	13–10	0.02	9%	13 Apr →
overpass	12–16	0.00	12%	12 Apr →
inferno	16–13	0.03	17%	8 Apr →
mirage	7–13	-0.10	6%	8 Apr →
mirage	11–13	-0.06	10%	24 Mar →
nuke	8–13	-0.04	11%	20 Mar →
nuke	13–1	0.01	10%	17 Mar →
anubis	5–13	-0.04	14%	9 Mar →
mirage	5–13	-0.04	17%	7 Mar →
overpass	6–13	0.06	5%	5 Mar →
mirage	7–13	0.06	8%	5 Mar →
anubis	11–13	-0.07	11%	3 Mar →
overpass	13–9	0.01	16%	3 Mar →
inferno	13–4	0.08	13%	3 Mar →
inferno	11–13	0.06	18%	3 Mar →
office	13–5	-0.03	5%	2 Mar →
nuke	13–8	0.05	11%	1 Mar →
overpass	8–13	-0.03	8%	1 Mar →
inferno	13–9	0.02	17%	1 Mar →
inferno	8–13	-0.06	7%	28 Feb →
nuke	9–13	-0.00	7%	28 Feb →